The Topology of Chaos - Department of Physics - Drexel University
The Topology of Chaos - Department of Physics - Drexel University
The Topology of Chaos - Department of Physics - Drexel University
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Abstract<br />
<strong>The</strong> <strong>Topology</strong><br />
<strong>of</strong> <strong>Chaos</strong><br />
Robert<br />
Gilmore<br />
Intro.-01<br />
Intro.-02<br />
Intro.-03<br />
Exp’tal-01<br />
Exp’tal-02<br />
Exp’tal-03<br />
Exp’tal-04<br />
Exp’tal-05<br />
Exp’tal-06<br />
Exp’tal-07<br />
Exp’tal-08<br />
Embed-01<br />
Embed-02<br />
Embed-03<br />
Data generated by a low-dimensional dynamical system<br />
operating in a chaotic regime can be analyzed using topological<br />
methods. <strong>The</strong> process is (almost) straightforward. On a scalar<br />
time series, the following steps are taken:<br />
1 Unstable periodic orbits are identified;<br />
2 An embedding is constructed; ⋆ ⋆<br />
3 <strong>The</strong> topological organization <strong>of</strong> these periodic orbits is<br />
determined;<br />
4 Some orbits are used to identify an underlying branched<br />
manifold;<br />
5 <strong>The</strong> branched manifold is used as a tool to predict the<br />
remaining topological invariants.<br />
This algorithm has its own built in rejection criterion.